wealthi-coach-mcp-server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PORT | No | Port for HTTP transport mode. | 3000 |
| TRANSPORT | No | Transport mode: 'stdio' or 'http'. | stdio |
| SUPABASE_URL | Yes | Supabase project URL for identity and routing_signals access. | |
| FIREBASE_PROJECT_ID | Yes | Firebase project ID for Firestore access. | |
| FIREBASE_PRIVATE_KEY | Yes | Firebase service account private key for Firestore access. | |
| FIREBASE_CLIENT_EMAIL | Yes | Firebase service account client email for Firestore access. | |
| SUPABASE_COACH_READONLY_KEY | Yes | Supabase read-only key scoped to SELECT on profiles. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_student_profileA | Retrieve a student's basic identity and enrollment information. This tool does NOT return parent contact details, raw assessment data, or any internal scoring/routing fields — only what's needed to personalize Coach's tone and respect age-appropriate framing. Args:
Returns: JSON object with schema: { "studentId": string, "displayName": string, // safe display name only "gradeBand": "elementary" | "middle" | "high" | "young_adult", "hasLinkedParent": boolean, // presence only, never parent identity "enrolledAt": string // ISO 8601 date } Error Handling:
|
| get_student_progressA | Retrieve a student's current XP, level, streak, and points balance. Reads from Firestore (users/{studentId}), which is the system of record for gamification/progress data. Does NOT include quiz-level detail — use get_assessment_results for that. Args:
Returns: JSON object with schema: { "studentId": string, "xp": number, "level": number, "streakCount": number, "streakStatus": "active" | "at_risk" | "broken", "pointsBalance": number } Error Handling:
|
| get_assessment_resultsA | Retrieve a student's recent quiz/assessment attempts, most recent first. Reads from Firestore (users/{studentId}/quizAttempts). Paginated since this collection grows unbounded over a student's tenure — always check has_more. Args:
Returns: JSON object with schema: { "studentId": string, "results": [ { "attemptId": string, "topic": string, "score": number, // 0-100 "completedAt": string, // ISO 8601 "attemptNumber": number } ], "hasMore": boolean, "nextCursor": string // present only if hasMore is true } Examples:
Error Handling:
|
| get_curriculum_progressA | Retrieve a student's completion status across Wealthi's financial literacy topics (saving, budgeting, tradeoffs, delayed gratification, goal setting, decision making, financial confidence, future thinking, credit basics). Derives completion from passing quiz attempts (score >= 70) grouped by topic and module, mapped against the same topic taxonomy used by Coach's content library (coachContent.ts) — so results align with what's shown in-app. Args:
Returns: JSON object with schema: { "studentId": string, "topics": [ { "topicId": string, "topicLabel": string, "status": "not_started" | "in_progress" | "completed", "completedModules": number, "totalModules": number } ] } Error Handling:
|
| get_learning_signalsA | Retrieve behavioral signals that inform what Coach should show a student next. Composes data from two sources: Supabase (profiles.routing_signals, for already-seen content) and Firestore (last activity timestamp, for momentum). Returns translated behavioral labels only — never raw dormancy-decay scores or internal routing fields. This mirrors the translation Coach already does internally via behaviorLabels.ts. Args:
Returns: JSON object with schema: { "studentId": string, "momentumState": "building" | "steady" | "dormant" | "returning", "seenContentIds": string[], // content already shown, for dedup "daysSinceLastSession": number, "recommendedInteractionType": "read" | "decide" | "reflect" } Examples:
Error Handling:
|
| get_coach_contextA | Retrieve everything Coach needs to open a session with a student, in one call. This is the primary entry point for AI Coach sessions — composes profile, progress, learning signals, and curriculum progress into a single object, so the Coach client doesn't need to know that two separate databases (Firestore and Supabase) are involved. Use the individual tools (get_student_profile, get_student_progress, get_learning_signals, get_curriculum_progress) only when you need just one piece, or for debugging a specific data source. Args:
Returns: JSON object with schema: { "profile": { studentId, displayName, gradeBand, hasLinkedParent, enrolledAt }, "progress": { studentId, xp, level, streakCount, streakStatus, pointsBalance }, "signals": { studentId, momentumState, seenContentIds, daysSinceLastSession, recommendedInteractionType }, "curriculum": { studentId, topics: [...] } } Examples:
Error Handling:
|
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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